Technologies of Identification and Depersonalization of Data

Abstract

The main objectives in the article are issues of personal information identification in arrays of unstructured information and depersonalization of personal information. Solution of problems of identification and depersonalizations of data in open sources can make a big leap in questions of expeditious identification of violations of such laws, as: the Federal law About personal information (No. 152-FL), the Federal law About mass media (No. 2124-1-FL), the Federal law About information, information technologies and information security (No. 149-FL). The main advantage of these technologies is possibility of extraction from unstructured information by means of means of computational linguistics of objects (the person, a brand, the organization, geographical concept), their attributes and the facts connected with objects and also further linguistic and analytical processing of taken information. These technologies can be used in the information and analytical systems intended for expeditious and exact identification of personal information for public authorities, organizations and certain individuals.